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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and evaluating AI/ML systems, with a strong focus on Python and scientific computing. Capable of translating domain knowledge into innovative agent designs and contributing to impactful scientific research.
Highest-signal resume keywords
AI/ML System DesignPython ProficiencyRapid PrototypingLLM-Based SystemsAgile Programming Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML SystemsScientific Software DevelopmentExperimental DesignData ScienceAgent OrchestrationTool-CallingPrompt EngineeringRetrieval Augmented GenerationEvaluation FrameworksComputational Biology
Soft Skills
CollaborationIndependent WorkCommunication
Tools & Technologies
LangChainLangFuseAgile Methodologies
Certifications & Qualifications
Master's Degree in Computer ScienceMaster's Degree in Data ScienceMaster's Degree in Computational Biology
Industry Keywords
Drug DiscoveryClinical DevelopmentTranslational ScienceScientific Research WorkflowsPeer-Reviewed Publications
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Develop and benchmark novel agent architectures, reasoning strategies, and tool-use patterns for scientific research workflows
- Prototype agentic capabilities across drug discovery, clinical development, and translational science
- Rapidly iterate to identify approaches delivering genuine scientific value
- Partner with therapeutic-area researchers to identify high-impact research problems
- Translate domain expertise into concrete agent designs and experimental tool integrations
- Publish findings through peer-reviewed papers, demonstrations, and knowledge-sharing
- Establish patterns and reference implementations for moving successful innovations from experimentation into broader platforms
- Define criteria for production readiness without owning ongoing operations
- Contribute as an individual contributor and developing subject-matter expert in Data Science
- Develop actionable insights, methods, and research for the internal Data Science community
- Contribute to scientific projects, programs, and processes important to the Data Science function
Requirements
What you’ll need- Master's degree or higher in Computer Science, Data Science, Computational Biology, or a related discipline
- Proven experience designing, building, and evaluating AI/ML systems or scientific software
- Track record of moving from research prototype to demonstrated impact
- Strong proficiency in Python and scientific computing
- Experience with rapid prototyping, experimental design, and rigorous evaluation of AI capabilities
- Hands-on experience with LLM-based systems and frameworks such as LangChain and LangFuse
- Experience with agent orchestration, tool-calling, prompt engineering, retrieval augmented generation, and/or evaluation frameworks
- Ability to work independently and within distributed developer teams using agile programming methodologies
- Ability to collaborate across therapeutic-area scientists, data scientists, and engineers
- Work authorization or other requirements applicable under U.S. federal, state, or local law
Benefits
Comp & perks- Consolidated retirement plan (pension)
- Savings plan (401(k))
- Long-term incentive program
- Vacation – 120 hours per calendar year
- Sick time – 40 hours per calendar year; 48 hours for Colorado residents; 56 hours for Washington residents
- Holiday pay, including Floating Holidays – 13 days per calendar year
- Work, Personal and Family Time – up to 40 hours per calendar year
- Parental Leave – 480 hours within one year of birth/adoption/foster care of a child
- Bereavement Leave – 240 hours for an immediate family member; 40 hours for an extended family member per calendar year
- Caregiver Leave – 80 hours in a 52-week rolling period
- Volunteer Leave – 32 hours per calendar year
- Military Spouse Time-Off – 80 hours per calendar year
- Hybrid work arrangement
- Inclusive interview accommodations
